Tian Li
26 papers · 2020–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Cross-Pollinator (11) π Conference Polyglot (11) π§ Keyword Pioneer π Renaissance Researcher (8)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(44)
π€
Dynamic Duo
(10)
π
Triple Crown
π
Grand Slam
π
Keyword Champion
π
Century Club
(26)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(75)
π₯
Unstoppable
(6)
Conferences
ICML (6)
ICLR (5)
ACL (4)
AAAI (2)
MICCAI (2)
SEMEVAL (2)
ECCV (1)
IJCAI (1)
JMLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
federated learning
(4)
large language model
(4)
contrastive learning
(3)
direct preference optimization
(2)
multi-label classification
(2)
selective forgetting
(2)
emotion intensity prediction
(2)
machine unlearning
(2)
knowledge erasure
(2)
emotion detection
(2)
model compression
(2)
data augmentation
(1)
data poisoning
(1)
sentiment classification
(1)
hyperparameter optimization
(1)
multi-task learning
(1)
k-means clustering
(1)
responsible ai
(1)
scalable learning
(1)
adversarial training
(1)
Papers
Tilted Sharpness-Aware Minimization
ICML 2025
Generalization and Robustness of the Tilted Empirical Risk
ICML 2025
Many-Objective Multi-Solution Transport
ICLR 2025
Scalable and Trustworthy Learning in Heterogeneous Networks
AAAI 2025
Efficient Distributed Optimization under Heavy-Tailed Noise
ICML 2025
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Modelβs Capability of Emotion Perception using Contrastive Learning
ACL 2025
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
ACL 2025
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Modelβs Capability of Emotion Perception using Contrastive Learning
SEMEVAL 2025
iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss
SEMEVAL 2025
AI-Powered Algorithm-Centric Quantum Processor Topology Design
AAAI 2025
Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLMβs Prediction with Role-play Augmentation and Contrastive Reasoning Calibration
ACL 2024
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models
NAACL 2024
hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns
ACL 2024
Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features
MICCAI 2024
Physical-priors-guided Aortic Dissection Detection using Non-Contrast-Enhanced CT images
MICCAI 2024
On Tilted Losses in Machine Learning: Theory and Applications
JMLR 2023
Differentially Private Adaptive Optimization with Delayed Preconditioners
ICLR 2023
Private Adaptive Optimization with Side information
ICML 2022
Diverse Client Selection for Federated Learning via Submodular Maximization
ICLR 2022
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data
IJCAI 2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
ECCV 2022
Heterogeneity for the Win: One-Shot Federated Clustering
ICML 2021
Tilted Empirical Risk Minimization
ICLR 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
NIPS 2021
Ditto: Fair and Robust Federated Learning Through Personalization
ICML 2021
Fair Resource Allocation in Federated Learning
ICLR 2020